Quince

Staff Data Scientist, Planning and Forecasting

United States · Staff+

Sponsorship not specified$250k-$285kDetected 18 hours ago

Code ReviewMachine LearningData ScienceLLMsStatisticsA/B TestingForecastingSupply ChainProcurementResearchLeadershipMentoringDemand Planning

About the role

Staff Data Scientist, Planning and Forecasting
The Staff Data Scientist sets the science charter and writes the roadmap, driving its load-bearing components end-to-end.
You'll be the deep specialist on a broad mandate (the forecasting tournament implementation, the inventory placement model, the vendor performance system) with full ownership of the methodology, the production model, and the iteration loop.

Own the science workstreams end-to-end: the forecasting tournament implementation, the inventory placement optimization, the vendor performance system, or the raw material signal pipeline - across methodology, production model, and iteration loop
Set the standard for experimentation discipline within the science team: clean splits, honest backtests, the willingness to reject your own hypothesis
Drive AI-native science workflow (LLM-aided EDA, agentic feature discovery, AI-augmented experiment design) with rigor to match
raise the methodological floor of the people around you through code review, design discussion, and direct teaching
Partner with planning operators on the problems within your workstream
Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.
You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.

8+ years of applied data science or operations research experience, with deep expertise in one or two domains relevant to supply chain planning
AI-native science practice you can speak to in detail with examples of where AI tooling materially changed how you do science, and where you held your standards against it
Track record of mentorship: scientists who became better because they worked with you
Advanced degree in a quantitative field (Statistics, CS, Operations Research, Engineering, Economics) preferred; PhD a plus

Advanced degree in a quantitative field (Statistics, CS, Operations Research, Engineering, Economics) preferred

to make really high quality essentials for really low prices, produced fairly and sustainably.
We believe everyone deserves exceptional craftsmanship and timeless design without the traditional markups.
Quince is a direct-to-consumer (DTC) model that cuts out middlemen and leverages just-in-time manufacturing to minimize waste and maximize value.
Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do.
Our unwavering commitment to excellence and company values guide our teams and actions:
Founded in 2018, Quince was built to challenge the idea that nice things have to cost a lot.
Innovation and transparency ensure value for both customers and partners.
At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail.
We are a destination for builders, innovators, and operators to come together and challenge the status quo.
Our collective ambition is bold.
We are creating an entirely new category and customer experience - one that democratizes luxury and provides high quality products at radically low prices.
That mission demands a world-class team committed to excellence.
If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Quince.

If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form.

This listing is sourced directly from Quince's careers page and normalized into a canonical job model.